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Company

Original Job Post

myGwork - LGBTQ+ Business Community · 2 days ago

Principal Machine Learning Engineer

Seattle, WA

Full-time

Onsite

Senior Level

$94K/yr - $224K/yr

6+ years exp

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Responsibilities

Build new built on OCI and OCI Native services from scratch.

Inspire a culture of 'Always On' Service Operations in the team.

Present weekly to upper management - Service Escalations and Statistics along with Corrective Actions/Preventive Actions.

Interface with Architects and technical leads to steer them to continuous Feature Improvements.

Directly and indirectly manage Globally Distributed engineering team that is fast growing.

Allocate resources, set priorities, and manage schedules for the team. Work across the platform organization to define and provide inputs to the technology strategy, infrastructure and architecture vision that supports the successful execution of the product roadmap and business strategy.

Feed the Service Operations requirements, challenges into service development teams for continuous improvements.

Responsible to Hire outstanding SDEs, SREs in a competitive environment. Proven ability to motivate, align, and manage high performing, happy and empowered developers.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Software EngineeringArchitectingAI/MLScalable SystemsCloud ServicesOperations ManagementLarge-scale SystemsDistributed SystemsCloud NativeMachine Learning PlatformsGeographically Distributed Teams LeadershipCompliance FrameworksHealthcare Data ProcessingLarge Scale GPU InfrastructureML TrainingML InferencingBuilding PipelinesML/AI-based ApproachesLLMs Packaging

Required

Bachelor’s degree in computer science, engineering, or an equivalent highly technical field

6+ years of software engineering experience and a proven track record of successfully architecting and shipping high performance, low latency AI/ML enabled products & services

Strong technical understanding in building complex, scalable, low latency streaming/batch processing AI/ML cloud services

Proven track record on running operations for a cloud service

Deep knowledge of large-scale compute, network, and storage systems

Experience working with Distributed Systems

Preferred

PhD or MS in Computer Science or related technical field (Statistics, Mathematics, AI/ML, Operations Research etc.)

Experience in scalable distributed backend services design with Cloud Native

Demonstrated knowledge and experience with machine learning platforms from major providers (AWS, Microsoft Azure and Google Cloud)

Experience in leading multiple geographically distributed teams

Handling and working with Compliance frameworks and Healthcare data

Required to have worked in at least one of the following areas of Healthcare data processing, Large scale GPU infrastructure for ML training and Inferencing, building pipelines from ML models etc

Familiarity with recent ML/AI-based approaches for building and packaging LLMs and large ML models would be highly preferred

Benefits

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance